Metric aggregations

As explained in the previous sections, metric aggregations allow you to find out the statistical measurement of the data, which includes the following:

• Computing basic statistics

  • Computing in a combined way: stats aggregation

  • Computing separately : min, max, sum, value_count, aggregations

• Computing extended statistics: extended_stats aggregation

• Computing distinct counts: cardinality aggregation

  Note

  Metric aggregations are fundamentally categorized in two forms:

  • single-value metric: min, max, sum, value_count, avg, and cardinality aggregations

  • multi-value metric: stats and extended_stats aggregations

Computing basic stats

The basic statistics include: min, max, sum, count, and avg. These statistics can be computed in the following two ways and can only be performed on numeric fields.

Combined stats

All the stats mentioned previously can be calculated with a single aggregation query.

Python example

query = {
 "aggs": {
   "follower_counts_stats": {
     "stats": {
       "field...